Combined Profiling Report

Dataset statistics

Number of variables	25
Number of observations	32060
Missing cells	29033
Missing cells (%)	3.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.1 MiB
Average record size in memory	822.3 B

Variable types

Numeric	12
Categorical	13

Warnings

`target` is highly correlated with `created_account`	High correlation
`has_married` is highly correlated with `marital_status`	High correlation
`created_account` is highly correlated with `target`	High correlation
`marital_status` is highly correlated with `has_married`	High correlation
`target` has 29033 (90.6%) missing values	Missing
`capital_gain` has 29380 (91.6%) zeros	Zeros
`capital_loss` has 30568 (95.3%) zeros	Zeros
`total_months_with_employer` has 494 (1.5%) zeros	Zeros

Reproduction

Analysis started	2021-11-28 16:48:32.282302
Analysis finished	2021-11-28 16:48:59.740743
Duration	27.46 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

age
Real number (ℝ_≥0)

Distinct	73
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	38.56481597
Minimum	17
Maximum	90
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	17
5-th percentile	19
Q1	28
median	37
Q3	48
95-th percentile	63
Maximum	90
Range	73
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.63753249
Coefficient of variation (CV)	0.3536262821
Kurtosis	-0.1711930329
Mean	38.56481597
Median Absolute Deviation (MAD)	10
Skewness	0.5582934334
Sum	1236388
Variance	185.9822924
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	883	2.8%
31	873	2.7%
34	867	2.7%
35	865	2.7%
23	864	2.7%
33	861	2.7%
28	856	2.7%
30	848	2.6%
37	841	2.6%
25	832	2.6%
Other values (63)	23470	73.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
17	393	1.2%
18	541	1.7%
19	703	2.2%
20	745	2.3%
21	711	2.2%
22	749	2.3%
23	864	2.7%
24	786	2.5%
25	832	2.6%
26	771	2.4%

Value	Count	Frequency (%)
90	41	0.1%
88	3	< 0.1%
87	1	< 0.1%
86	1	< 0.1%
85	2	< 0.1%
84	10	< 0.1%
83	6	< 0.1%
82	11	< 0.1%
81	19	0.1%
80	22	0.1%

marital_status
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

Married-civ-spouse	14747
Never-married	10531
Divorced	4365
Separated	1007
Widowed	976
Other values (2)	434

Length

Max length	21
Median length	13
Mean length	14.41628197
Min length	7

Characters and Unicode

Total characters	462186
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Never-married
2nd row	Married-civ-spouse
3rd row	Divorced
4th row	Married-civ-spouse
5th row	Married-civ-spouse

Value	Count	Frequency (%)
Married-civ-spouse	14747	46.0%
Never-married	10531	32.8%
Divorced	4365	13.6%
Separated	1007	3.1%
Widowed	976	3.0%
Married-spouse-absent	411	1.3%
Married-AF-spouse	23	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
married-civ-spouse	14747	46.0%
never-married	10531	32.8%
divorced	4365	13.6%
separated	1007	3.1%
widowed	976	3.0%
married-spouse-absent	411	1.3%
married-af-spouse	23	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	69721	15.1%
r	67327	14.6%
i	45800	9.9%
-	40893	8.8%
d	33036	7.1%
s	30773	6.7%
v	29643	6.4%
a	28137	6.1%
o	20522	4.4%
c	19112	4.1%
Other values (14)	77222	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	389187	84.2%
Dash Punctuation	40893	8.8%
Uppercase Letter	32106	6.9%

Most frequent character per category

Value	Count	Frequency (%)
e	69721	17.9%
r	67327	17.3%
i	45800	11.8%
d	33036	8.5%
s	30773	7.9%
v	29643	7.6%
a	28137	7.2%
o	20522	5.3%
c	19112	4.9%
p	16188	4.2%
Other values (6)	28928	7.4%

Value	Count	Frequency (%)
M	15181	47.3%
N	10531	32.8%
D	4365	13.6%
S	1007	3.1%
W	976	3.0%
A	23	0.1%
F	23	0.1%

Value	Count	Frequency (%)
-	40893	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	421293	91.2%
Common	40893	8.8%

Most frequent character per script

Value	Count	Frequency (%)
e	69721	16.5%
r	67327	16.0%
i	45800	10.9%
d	33036	7.8%
s	30773	7.3%
v	29643	7.0%
a	28137	6.7%
o	20522	4.9%
c	19112	4.5%
p	16188	3.8%
Other values (13)	61034	14.5%

Value	Count	Frequency (%)
-	40893	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	462186	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	69721	15.1%
r	67327	14.6%
i	45800	9.9%
-	40893	8.8%
d	33036	7.1%
s	30773	6.7%
v	29643	6.4%
a	28137	6.1%
o	20522	4.4%
c	19112	4.1%
Other values (14)	77222	16.7%

education
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

HS-grad	10347
Some-college	7190
Bachelors	5278
Masters	1693
Assoc-voc	1357
Other values (11)	6195

Length

Max length	12
Median length	7
Mean length	8.435776669
Min length	3

Characters and Unicode

Total characters	270451
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bachelors
2nd row	Bachelors
3rd row	HS-grad
4th row	11th
5th row	Bachelors

Value	Count	Frequency (%)
HS-grad	10347	32.3%
Some-college	7190	22.4%
Bachelors	5278	16.5%
Masters	1693	5.3%
Assoc-voc	1357	4.2%
11th	1159	3.6%
Assoc-acdm	1050	3.3%
10th	919	2.9%
7th-8th	634	2.0%
Prof-school	567	1.8%
Other values (6)	1866	5.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
hs-grad	10347	32.3%
some-college	7190	22.4%
bachelors	5278	16.5%
masters	1693	5.3%
assoc-voc	1357	4.2%
11th	1159	3.6%
assoc-acdm	1050	3.3%
10th	919	2.9%
7th-8th	634	2.0%
prof-school	567	1.8%
Other values (6)	1866	5.8%

Most occurring characters

Value	Count	Frequency (%)
e	28991	10.7%
o	26023	9.6%
-	21638	8.0%
l	20273	7.5%
a	18770	6.9%
r	18335	6.8%
c	18299	6.8%
S	17537	6.5%
g	17537	6.5%
s	14258	5.3%
Other values (21)	68790	25.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	202782	75.0%
Uppercase Letter	38279	14.2%
Dash Punctuation	21638	8.0%
Decimal Number	7752	2.9%

Most frequent character per category

Value	Count	Frequency (%)
e	28991	14.3%
o	26023	12.8%
l	20273	10.0%
a	18770	9.3%
r	18335	9.0%
c	18299	9.0%
g	17537	8.6%
s	14258	7.0%
d	11397	5.6%
h	10983	5.4%
Other values (4)	17916	8.8%

Value	Count	Frequency (%)
1	3821	49.3%
0	919	11.9%
7	634	8.2%
8	634	8.2%
9	504	6.5%
2	419	5.4%
5	328	4.2%
6	328	4.2%
4	165	2.1%

Value	Count	Frequency (%)
S	17537	45.8%
H	10347	27.0%
B	5278	13.8%
A	2407	6.3%
M	1693	4.4%
P	615	1.6%
D	402	1.1%

Value	Count	Frequency (%)
-	21638	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	241061	89.1%
Common	29390	10.9%

Most frequent character per script

Value	Count	Frequency (%)
e	28991	12.0%
o	26023	10.8%
l	20273	8.4%
a	18770	7.8%
r	18335	7.6%
c	18299	7.6%
S	17537	7.3%
g	17537	7.3%
s	14258	5.9%
d	11397	4.7%
Other values (11)	49641	20.6%

Value	Count	Frequency (%)
-	21638	73.6%
1	3821	13.0%
0	919	3.1%
7	634	2.2%
8	634	2.2%
9	504	1.7%
2	419	1.4%
5	328	1.1%
6	328	1.1%
4	165	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	270451	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	28991	10.7%
o	26023	9.6%
-	21638	8.0%
l	20273	7.5%
a	18770	6.9%
r	18335	6.8%
c	18299	6.8%
S	17537	6.5%
g	17537	6.5%
s	14258	5.3%
Other values (21)	68790	25.4%

occupation_level
Real number (ℝ_≥0)

Distinct	20
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.757673113
Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	8
Q3	10
95-th percentile	14
Maximum	20
Range	19
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.859709422
Coefficient of variation (CV)	0.4975344238
Kurtosis	-0.4598044946
Mean	7.757673113
Median Absolute Deviation (MAD)	3
Skewness	0.2736765035
Sum	248711
Variance	14.89735682
Monotocity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
8	3687	11.5%
6	3485	10.9%
10	3172	9.9%
4	2698	8.4%
7	2388	7.4%
12	2224	6.9%
9	2136	6.7%
5	2008	6.3%
2	1827	5.7%
3	1777	5.5%
Other values (10)	6658	20.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1208	3.8%
2	1827	5.7%
3	1777	5.5%
4	2698	8.4%
5	2008	6.3%
6	3485	10.9%
7	2388	7.4%
8	3687	11.5%
9	2136	6.7%
10	3172	9.9%

Value	Count	Frequency (%)
20	31	0.1%
19	56	0.2%
18	207	0.6%
17	179	0.6%
16	417	1.3%
15	440	1.4%
14	1083	3.4%
13	1319	4.1%
12	2224	6.9%
11	1718	5.4%

education_num
Real number (ℝ_≥0)

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	13.20761073
Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	12
median	13
Q3	16
95-th percentile	18
Maximum	21
Range	20
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.353796886
Coefficient of variation (CV)	0.2539291137
Kurtosis	0.7716332024
Mean	13.20761073
Median Absolute Deviation (MAD)	1
Skewness	-0.364423994
Sum	423436
Variance	11.24795355
Monotocity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
12	10347	32.3%
13	7190	22.4%
17	5278	16.5%
18	1693	5.3%
14	1357	4.2%
9	1159	3.6%
16	1050	3.3%
8	919	2.9%
5	634	2.0%
20	567	1.8%
Other values (6)	1866	5.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	48	0.1%
3	165	0.5%
4	328	1.0%
5	634	2.0%
6	504	1.6%
8	919	2.9%
9	1159	3.6%
10	419	1.3%
12	10347	32.3%
13	7190	22.4%

Value	Count	Frequency (%)
21	402	1.3%
20	567	1.8%
18	1693	5.3%
17	5278	16.5%
16	1050	3.3%
14	1357	4.2%
13	7190	22.4%
12	10347	32.3%
10	419	1.3%
9	1159	3.6%

familiarity_FB
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.29033063
Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	8
95-th percentile	9
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.673795294
Coefficient of variation (CV)	0.5054117561
Kurtosis	-1.163045096
Mean	5.29033063
Median Absolute Deviation (MAD)	2
Skewness	0.0116450518
Sum	169608
Variance	7.149181275
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	3547	11.1%
2	3504	10.9%
7	3494	10.9%
6	3493	10.9%
8	3486	10.9%
9	3467	10.8%
4	3461	10.8%
3	3432	10.7%
1	2838	8.9%
10	1338	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2838	8.9%
2	3504	10.9%
3	3432	10.7%
4	3461	10.8%
5	3547	11.1%
6	3493	10.9%
7	3494	10.9%
8	3486	10.9%
9	3467	10.8%
10	1338	4.2%

Value	Count	Frequency (%)
10	1338	4.2%
9	3467	10.8%
8	3486	10.9%
7	3494	10.9%
6	3493	10.9%
5	3547	11.1%
4	3461	10.8%
3	3432	10.7%
2	3504	10.9%
1	2838	8.9%

view_FB
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.170929507
Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	9
Maximum	10
Range	9
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.550474931
Coefficient of variation (CV)	0.4932333591
Kurtosis	-1.137469448
Mean	5.170929507
Median Absolute Deviation (MAD)	2
Skewness	0.01187618404
Sum	165780
Variance	6.504922371
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6	3777	11.8%
4	3739	11.7%
3	3725	11.6%
8	3663	11.4%
7	3634	11.3%
5	3593	11.2%
2	3528	11.0%
9	3179	9.9%
1	2623	8.2%
10	599	1.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2623	8.2%
2	3528	11.0%
3	3725	11.6%
4	3739	11.7%
5	3593	11.2%
6	3777	11.8%
7	3634	11.3%
8	3663	11.4%
9	3179	9.9%
10	599	1.9%

Value	Count	Frequency (%)
10	599	1.9%
9	3179	9.9%
8	3663	11.4%
7	3634	11.3%
6	3777	11.8%
5	3593	11.2%
4	3739	11.7%
3	3725	11.6%
2	3528	11.0%
1	2623	8.2%

interested_insurance
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	18438
1	13622

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	32060
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Value	Count	Frequency (%)
0	18438	57.5%
1	13622	42.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	18438	57.5%
1	13622	42.5%

Most occurring characters

Value	Count	Frequency (%)
0	18438	57.5%
1	13622	42.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	32060	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	18438	57.5%
1	13622	42.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	32060	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	18438	57.5%
1	13622	42.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32060	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	18438	57.5%
1	13622	42.5%

created_account
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

unknown	29033
No	2787
Yes	240

Length

Max length	7
Median length	7
Mean length	6.535402371
Min length	2

Characters and Unicode

Total characters	209525
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Value	Count	Frequency (%)
unknown	29033	90.6%
No	2787	8.7%
Yes	240	0.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
unknown	29033	90.6%
no	2787	8.7%
yes	240	0.7%

Most occurring characters

Value	Count	Frequency (%)
n	87099	41.6%
o	31820	15.2%
u	29033	13.9%
k	29033	13.9%
w	29033	13.9%
N	2787	1.3%
Y	240	0.1%
e	240	0.1%
s	240	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	206498	98.6%
Uppercase Letter	3027	1.4%

Most frequent character per category

Value	Count	Frequency (%)
n	87099	42.2%
o	31820	15.4%
u	29033	14.1%
k	29033	14.1%
w	29033	14.1%
e	240	0.1%
s	240	0.1%

Value	Count	Frequency (%)
N	2787	92.1%
Y	240	7.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	209525	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	87099	41.6%
o	31820	15.2%
u	29033	13.9%
k	29033	13.9%
w	29033	13.9%
N	2787	1.3%
Y	240	0.1%
e	240	0.1%
s	240	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	209525	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	87099	41.6%
o	31820	15.2%
u	29033	13.9%
k	29033	13.9%
w	29033	13.9%
N	2787	1.3%
Y	240	0.1%
e	240	0.1%
s	240	0.1%

has_married
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

1	17164
0	14896

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	32060
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Value	Count	Frequency (%)
1	17164	53.5%
0	14896	46.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	17164	53.5%
0	14896	46.5%

Most occurring characters

Value	Count	Frequency (%)
1	17164	53.5%
0	14896	46.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	32060	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	17164	53.5%
0	14896	46.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	32060	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	17164	53.5%
0	14896	46.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32060	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	17164	53.5%
0	14896	46.5%

education_order
Real number (ℝ_≥0)

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.851528384
Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	9
median	10
Q3	11
95-th percentile	15
Maximum	16
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.411522885
Coefficient of variation (CV)	0.2447866758
Kurtosis	1.603895409
Mean	9.851528384
Median Absolute Deviation (MAD)	1
Skewness	-0.1831421012
Sum	315840
Variance	5.815442625
Monotocity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
9	10347	32.3%
10	7190	22.4%
11	5278	16.5%
12	1693	5.3%
14	1357	4.2%
7	1159	3.6%
15	1050	3.3%
6	919	2.9%
4	634	2.0%
16	567	1.8%
Other values (6)	1866	5.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	48	0.1%
2	165	0.5%
3	328	1.0%
4	634	2.0%
5	504	1.6%
6	919	2.9%
7	1159	3.6%
8	419	1.3%
9	10347	32.3%
10	7190	22.4%

Value	Count	Frequency (%)
16	567	1.8%
15	1050	3.3%
14	1357	4.2%
13	402	1.3%
12	1693	5.3%
11	5278	16.5%
10	7190	22.4%
9	10347	32.3%
8	419	1.3%
7	1159	3.6%

job_title_top_10
Categorical

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

Other	27900
Accountant, chartered	484
Engineer, manufacturing	481
Amenity horticulturist	462
Tutor	456
Other values (6)	2277

Length

Max length	33
Median length	5
Mean length	7.105427324
Min length	5

Characters and Unicode

Total characters	227800
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Other
3rd row	Other
4th row	Other
5th row	Other

Value	Count	Frequency (%)
Other	27900	87.0%
Accountant, chartered	484	1.5%
Engineer, manufacturing	481	1.5%
Amenity horticulturist	462	1.4%
Tutor	456	1.4%
Education officer, community	443	1.4%
Environmental health practitioner	436	1.4%
Event organiser	421	1.3%
Conservator, museum/gallery	329	1.0%
Clinical psychologist	325	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
other	27900	76.1%
chartered	484	1.3%
accountant	484	1.3%
manufacturing	481	1.3%
engineer	481	1.3%
amenity	462	1.3%
horticulturist	462	1.3%
tutor	456	1.2%
community	443	1.2%
officer	443	1.2%
Other values (12)	4547	12.4%

Most occurring characters

Value	Count	Frequency (%)
t	36165	15.9%
r	34790	15.3%
e	34518	15.2%
h	30366	13.3%
O	27900	12.2%
n	7803	3.4%
i	7027	3.1%
a	5731	2.5%
o	5655	2.5%
c	5456	2.4%
Other values (17)	32389	14.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	188768	82.9%
Uppercase Letter	32383	14.2%
Space Separator	4583	2.0%
Other Punctuation	2066	0.9%

Most frequent character per category

Value	Count	Frequency (%)
t	36165	19.2%
r	34790	18.4%
e	34518	18.3%
h	30366	16.1%
n	7803	4.1%
i	7027	3.7%
a	5731	3.0%
o	5655	3.0%
c	5456	2.9%
u	4370	2.3%
Other values (9)	16887	8.9%

Value	Count	Frequency (%)
O	27900	86.2%
E	1781	5.5%
A	1269	3.9%
T	779	2.4%
C	654	2.0%

Value	Count	Frequency (%)
,	1737	84.1%
/	329	15.9%

Value	Count	Frequency (%)
	4583	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	221151	97.1%
Common	6649	2.9%

Most frequent character per script

Value	Count	Frequency (%)
t	36165	16.4%
r	34790	15.7%
e	34518	15.6%
h	30366	13.7%
O	27900	12.6%
n	7803	3.5%
i	7027	3.2%
a	5731	2.6%
o	5655	2.6%
c	5456	2.5%
Other values (14)	25740	11.6%

Value	Count	Frequency (%)
	4583	68.9%
,	1737	26.1%
/	329	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	227800	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	36165	15.9%
r	34790	15.3%
e	34518	15.2%
h	30366	13.3%
O	27900	12.2%
n	7803	3.4%
i	7027	3.1%
a	5731	2.5%
o	5655	2.5%
c	5456	2.4%
Other values (17)	32389	14.2%

company_email_address
Categorical

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Other	30182
smith.com	379
jones.com	309
williams.com	206
brown.com	176
Other values (6)	808

Length

Max length	12
Median length	5
Mean length	5.28147224
Min length	5

Characters and Unicode

Total characters	169324
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	jones.com
2nd row	Other
3rd row	Other
4th row	Other
5th row	Other

Value	Count	Frequency (%)
Other	30182	94.1%
smith.com	379	1.2%
jones.com	309	1.0%
williams.com	206	0.6%
brown.com	176	0.5%
davies.com	163	0.5%
taylor.com	163	0.5%
evans.com	137	0.4%
wilson.com	122	0.4%
johnson.com	112	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
other	30182	94.1%
smith.com	379	1.2%
jones.com	309	1.0%
williams.com	206	0.6%
brown.com	176	0.5%
davies.com	163	0.5%
taylor.com	163	0.5%
evans.com	137	0.4%
wilson.com	122	0.4%
johnson.com	112	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	30902	18.3%
t	30835	18.2%
r	30743	18.2%
h	30673	18.1%
O	30182	17.8%
o	2983	1.8%
m	2463	1.5%
.	1878	1.1%
c	1878	1.1%
s	1539	0.9%
Other values (10)	5248	3.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	137264	81.1%
Uppercase Letter	30182	17.8%
Other Punctuation	1878	1.1%

Most frequent character per category

Value	Count	Frequency (%)
e	30902	22.5%
t	30835	22.5%
r	30743	22.4%
h	30673	22.3%
o	2983	2.2%
m	2463	1.8%
c	1878	1.4%
s	1539	1.1%
i	1076	0.8%
n	968	0.7%
Other values (8)	3204	2.3%

Value	Count	Frequency (%)
.	1878	100.0%

Value	Count	Frequency (%)
O	30182	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	167446	98.9%
Common	1878	1.1%

Most frequent character per script

Value	Count	Frequency (%)
e	30902	18.5%
t	30835	18.4%
r	30743	18.4%
h	30673	18.3%
O	30182	18.0%
o	2983	1.8%
m	2463	1.5%
c	1878	1.1%
s	1539	0.9%
i	1076	0.6%
Other values (9)	4172	2.5%

Value	Count	Frequency (%)
.	1878	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	169324	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	30902	18.3%
t	30835	18.2%
r	30743	18.2%
h	30673	18.1%
O	30182	17.8%
o	2983	1.8%
m	2463	1.5%
.	1878	1.1%
c	1878	1.1%
s	1539	0.9%
Other values (10)	5248	3.1%

hours_per_week
Real number (ℝ_≥0)

Distinct	94
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	40.4334685
Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	1
5-th percentile	18
Q1	40
median	40
Q3	45
95-th percentile	60
Maximum	99
Range	98
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	12.33371899
Coefficient of variation (CV)	0.3050373725
Kurtosis	2.919402385
Mean	40.4334685
Median Absolute Deviation (MAD)	3
Skewness	0.2268609529
Sum	1296297
Variance	152.1206241
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	15004	46.8%
50	2779	8.7%
45	1788	5.6%
60	1453	4.5%
35	1277	4.0%
20	1201	3.7%
30	1135	3.5%
55	681	2.1%
25	663	2.1%
48	508	1.6%
Other values (84)	5571	17.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	19	0.1%
2	32	0.1%
3	37	0.1%
4	53	0.2%
5	58	0.2%
6	64	0.2%
7	26	0.1%
8	142	0.4%
9	18	0.1%
10	272	0.8%

Value	Count	Frequency (%)
99	83	0.3%
98	11	< 0.1%
97	2	< 0.1%
96	5	< 0.1%
95	2	< 0.1%
94	1	< 0.1%
92	1	< 0.1%
91	3	< 0.1%
90	29	0.1%
89	1	< 0.1%

capital_gain
Real number (ℝ_≥0)

ZEROS

Distinct	119
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1076.781815
Minimum	0
Maximum	99999
Zeros	29380
Zeros (%)	91.6%
Memory size	250.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5013
Maximum	99999
Range	99999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7373.301479
Coefficient of variation (CV)	6.847535289
Kurtosis	155.2741732
Mean	1076.781815
Median Absolute Deviation (MAD)	0
Skewness	11.97046873
Sum	34521625
Variance	54365574.7
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	29380	91.6%
15024	342	1.1%
7688	282	0.9%
7298	241	0.8%
99999	156	0.5%
3103	96	0.3%
5178	96	0.3%
4386	70	0.2%
5013	69	0.2%
8614	55	0.2%
Other values (109)	1273	4.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	29380	91.6%
114	6	< 0.1%
401	2	< 0.1%
594	34	0.1%
914	8	< 0.1%
991	5	< 0.1%
1055	24	0.1%
1086	3	< 0.1%
1111	1	< 0.1%
1151	8	< 0.1%

Value	Count	Frequency (%)
99999	156	0.5%
41310	2	< 0.1%
34095	5	< 0.1%
27828	33	0.1%
25236	11	< 0.1%
25124	4	< 0.1%
22040	1	< 0.1%
20051	36	0.1%
18481	2	< 0.1%
15831	5	< 0.1%

capital_loss
Real number (ℝ_≥0)

ZEROS

Distinct	91
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	87.09937617
Minimum	0
Maximum	4356
Zeros	30568
Zeros (%)	95.3%
Memory size	250.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	4356
Range	4356
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	402.5526524
Coefficient of variation (CV)	4.621762751
Kurtosis	20.46029417
Mean	87.09937617
Median Absolute Deviation (MAD)	0
Skewness	4.602228901
Sum	2792406
Variance	162048.638
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	30568	95.3%
1902	198	0.6%
1977	164	0.5%
1887	155	0.5%
1848	51	0.2%
1485	50	0.2%
2415	48	0.1%
1602	45	0.1%
1740	42	0.1%
1590	40	0.1%
Other values (81)	699	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	30568	95.3%
155	1	< 0.1%
213	4	< 0.1%
323	3	< 0.1%
419	3	< 0.1%
625	12	< 0.1%
653	3	< 0.1%
810	2	< 0.1%
880	5	< 0.1%
974	2	< 0.1%

Value	Count	Frequency (%)
4356	3	< 0.1%
3900	2	< 0.1%
3770	2	< 0.1%
3683	2	< 0.1%
3004	2	< 0.1%
2824	10	< 0.1%
2754	2	< 0.1%
2603	5	< 0.1%
2559	11	< 0.1%
2547	4	< 0.1%

native_country
Categorical

Distinct	40
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.1 MiB

United Kingdom	28726
Scotland	646
?	571
Poland	253
Germany	132
Other values (35)	1732

Length

Max length	26
Median length	14
Mean length	13.16777916
Min length	1

Characters and Unicode

Total characters	422159
Distinct characters	46
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	United Kingdom
2nd row	United Kingdom
3rd row	United Kingdom
4th row	United Kingdom
5th row	Sweden

Value	Count	Frequency (%)
United Kingdom	28726	89.6%
Scotland	646	2.0%
?	571	1.8%
Poland	253	0.8%
Germany	132	0.4%
Canada	119	0.4%
Bulgaria	114	0.4%
Wales	105	0.3%
India	100	0.3%
Sweden	95	0.3%
Other values (30)	1199	3.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
kingdom	28726	47.3%
united	28726	47.3%
scotland	646	1.1%
	571	0.9%
poland	253	0.4%
germany	132	0.2%
canada	119	0.2%
bulgaria	114	0.2%
wales	105	0.2%
india	100	0.2%
Other values (31)	1294	2.1%

Most occurring characters

Value	Count	Frequency (%)
n	59564	14.1%
d	58974	14.0%
i	58267	13.8%
o	29935	7.1%
t	29759	7.0%
e	29628	7.0%
m	29225	6.9%
g	29078	6.9%
U	28754	6.8%
	28726	6.8%
Other values (36)	40249	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	332439	78.7%
Uppercase Letter	60333	14.3%
Space Separator	28726	6.8%
Other Punctuation	590	0.1%
Dash Punctuation	43	< 0.1%
Open Punctuation	14	< 0.1%
Close Punctuation	14	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
U	28754	47.7%
K	28726	47.6%
S	769	1.3%
P	319	0.5%
C	268	0.4%
I	250	0.4%
G	238	0.4%
J	139	0.2%
E	118	0.2%
N	114	0.2%
Other values (10)	638	1.1%

Value	Count	Frequency (%)
n	59564	17.9%
d	58974	17.7%
i	58267	17.5%
o	29935	9.0%
t	29759	9.0%
e	29628	8.9%
m	29225	8.8%
g	29078	8.7%
a	3562	1.1%
l	1587	0.5%
Other values (10)	2860	0.9%

Value	Count	Frequency (%)
?	571	96.8%
&	19	3.2%

Value	Count	Frequency (%)
	28726	100.0%

Value	Count	Frequency (%)
-	43	100.0%

Value	Count	Frequency (%)
(	14	100.0%

Value	Count	Frequency (%)
)	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	392772	93.0%
Common	29387	7.0%

Most frequent character per script

Value	Count	Frequency (%)
n	59564	15.2%
d	58974	15.0%
i	58267	14.8%
o	29935	7.6%
t	29759	7.6%
e	29628	7.5%
m	29225	7.4%
g	29078	7.4%
U	28754	7.3%
K	28726	7.3%
Other values (30)	10862	2.8%

Value	Count	Frequency (%)
	28726	97.8%
?	571	1.9%
-	43	0.1%
&	19	0.1%
(	14	< 0.1%
)	14	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	422159	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	59564	14.1%
d	58974	14.0%
i	58267	13.8%
o	29935	7.1%
t	29759	7.0%
e	29628	7.0%
m	29225	6.9%
g	29078	6.9%
U	28754	6.8%
	28726	6.8%
Other values (36)	40249	9.5%

demographic_characteristic
Real number (ℝ_≥0)

Distinct	21423
Distinct (%)	66.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	189843.6625
Minimum	12285
Maximum	1484705
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	12285
5-th percentile	39409.85
Q1	117789
median	178449
Q3	237065
95-th percentile	379778.05
Maximum	1484705
Range	1472420
Interquartile range (IQR)	119276

Descriptive statistics

Standard deviation	105680.6841
Coefficient of variation (CV)	0.5566721729
Kurtosis	6.262694948
Mean	189843.6625
Median Absolute Deviation (MAD)	59948.5
Skewness	1.452524423
Sum	6086387820
Variance	1.1168407 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
203488	13	< 0.1%
123011	13	< 0.1%
164190	12	< 0.1%
148995	12	< 0.1%
113364	12	< 0.1%
123983	11	< 0.1%
111483	11	< 0.1%
155659	11	< 0.1%
120131	11	< 0.1%
126569	11	< 0.1%
Other values (21413)	31943	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12285	1	< 0.1%
13769	1	< 0.1%
14878	1	< 0.1%
18827	1	< 0.1%
19214	1	< 0.1%
19302	5	< 0.1%
19395	2	< 0.1%
19410	1	< 0.1%
19491	1	< 0.1%
19520	1	< 0.1%

Value	Count	Frequency (%)
1484705	1	< 0.1%
1455435	1	< 0.1%
1366120	1	< 0.1%
1268339	1	< 0.1%
1226583	1	< 0.1%
1184622	1	< 0.1%
1161363	1	< 0.1%
1125613	1	< 0.1%
1097453	1	< 0.1%
1085515	1	< 0.1%

town_adj
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

Edinburgh	19228
Swindon	5170
Other	3735
Leeds	1510
Oxford	1393

Length

Max length	9
Median length	9
Mean length	7.828852152
Min length	5

Characters and Unicode

Total characters	250993
Distinct characters	21
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Edinburgh
2nd row	Leeds
3rd row	Edinburgh
4th row	Edinburgh
5th row	Swindon

Value	Count	Frequency (%)
Edinburgh	19228	60.0%
Swindon	5170	16.1%
Other	3735	11.7%
Leeds	1510	4.7%
Oxford	1393	4.3%
Bristol	1024	3.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
edinburgh	19228	60.0%
swindon	5170	16.1%
other	3735	11.7%
leeds	1510	4.7%
oxford	1393	4.3%
bristol	1024	3.2%

Most occurring characters

Value	Count	Frequency (%)
n	29568	11.8%
d	27301	10.9%
i	25422	10.1%
r	25380	10.1%
h	22963	9.1%
E	19228	7.7%
b	19228	7.7%
u	19228	7.7%
g	19228	7.7%
o	7587	3.0%
Other values (11)	35860	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	218933	87.2%
Uppercase Letter	32060	12.8%

Most frequent character per category

Value	Count	Frequency (%)
n	29568	13.5%
d	27301	12.5%
i	25422	11.6%
r	25380	11.6%
h	22963	10.5%
b	19228	8.8%
u	19228	8.8%
g	19228	8.8%
o	7587	3.5%
e	6755	3.1%
Other values (6)	16273	7.4%

Value	Count	Frequency (%)
E	19228	60.0%
S	5170	16.1%
O	5128	16.0%
L	1510	4.7%
B	1024	3.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	250993	100.0%

Most frequent character per script

Value	Count	Frequency (%)
n	29568	11.8%
d	27301	10.9%
i	25422	10.1%
r	25380	10.1%
h	22963	9.1%
E	19228	7.7%
b	19228	7.7%
u	19228	7.7%
g	19228	7.7%
o	7587	3.0%
Other values (11)	35860	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	250993	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	29568	11.8%
d	27301	10.9%
i	25422	10.1%
r	25380	10.1%
h	22963	9.1%
E	19228	7.7%
b	19228	7.7%
u	19228	7.7%
g	19228	7.7%
o	7587	3.0%
Other values (11)	35860	14.3%

paye_adj
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 MiB

Other	26591
NW384000	3256
BR442000	1414
EE913000	799

Length

Max length	8
Median length	5
Mean length	5.511759201
Min length	5

Characters and Unicode

Total characters	176707
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Other
3rd row	Other
4th row	Other
5th row	BR442000

Value	Count	Frequency (%)
Other	26591	82.9%
NW384000	3256	10.2%
BR442000	1414	4.4%
EE913000	799	2.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
other	26591	82.9%
nw384000	3256	10.2%
br442000	1414	4.4%
ee913000	799	2.5%

Most occurring characters

Value	Count	Frequency (%)
O	26591	15.0%
t	26591	15.0%
h	26591	15.0%
e	26591	15.0%
r	26591	15.0%
0	16407	9.3%
4	6084	3.4%
3	4055	2.3%
N	3256	1.8%
W	3256	1.8%
Other values (7)	10694	6.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	106364	60.2%
Uppercase Letter	37529	21.2%
Decimal Number	32814	18.6%

Most frequent character per category

Value	Count	Frequency (%)
0	16407	50.0%
4	6084	18.5%
3	4055	12.4%
8	3256	9.9%
2	1414	4.3%
9	799	2.4%
1	799	2.4%

Value	Count	Frequency (%)
O	26591	70.9%
N	3256	8.7%
W	3256	8.7%
E	1598	4.3%
B	1414	3.8%
R	1414	3.8%

Value	Count	Frequency (%)
t	26591	25.0%
h	26591	25.0%
e	26591	25.0%
r	26591	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	143893	81.4%
Common	32814	18.6%

Most frequent character per script

Value	Count	Frequency (%)
O	26591	18.5%
t	26591	18.5%
h	26591	18.5%
e	26591	18.5%
r	26591	18.5%
N	3256	2.3%
W	3256	2.3%
E	1598	1.1%
B	1414	1.0%
R	1414	1.0%

Value	Count	Frequency (%)
0	16407	50.0%
4	6084	18.5%
3	4055	12.4%
8	3256	9.9%
2	1414	4.3%
9	799	2.4%
1	799	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	176707	100.0%

Most frequent character per block

Value	Count	Frequency (%)
O	26591	15.0%
t	26591	15.0%
h	26591	15.0%
e	26591	15.0%
r	26591	15.0%
0	16407	9.3%
4	6084	3.4%
3	4055	2.3%
N	3256	1.8%
W	3256	1.8%
Other values (7)	10694	6.1%

annual_salary
Real number (ℝ_≥0)

Distinct	12677
Distinct (%)	39.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	200506481.3
Minimum	36
Maximum	6655018723
Zeros	0
Zeros (%)	0.0%
Memory size	250.6 KiB

Quantile statistics

Minimum	36
5-th percentile	15404.925
Q1	19212
median	24062
Q3	36843
95-th percentile	82273854
Maximum	6655018723
Range	6655018687
Interquartile range (IQR)	17631

Descriptive statistics

Standard deviation	1086622660
Coefficient of variation (CV)	5.419389203
Kurtosis	29.75904943
Mean	200506481.3
Median Absolute Deviation (MAD)	6277
Skewness	5.587776499
Sum	6.428237789 × 10¹²
Variance	1.180748805 × 10¹⁸
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6655018723	799	2.5%
82273854	99	0.3%
18252	37	0.1%
19032	34	0.1%
17524	34	0.1%
19500	33	0.1%
20124	32	0.1%
19552	32	0.1%
19812	32	0.1%
18824	29	0.1%
Other values (12667)	30899	96.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
36	1	< 0.1%
203	1	< 0.1%
260	1	< 0.1%
286	1	< 0.1%
293	1	< 0.1%
362	1	< 0.1%
453	1	< 0.1%
470	1	< 0.1%
513	1	< 0.1%
518	1	< 0.1%

Value	Count	Frequency (%)
6655018723	799	2.5%
6631218918	1	< 0.1%
6627807440	1	< 0.1%
6623537895	1	< 0.1%
6605416087	1	< 0.1%
6595418706	1	< 0.1%
6572530984	1	< 0.1%
6535381743	1	< 0.1%
6526726426	1	< 0.1%
6522356558	1	< 0.1%

salary_band_text_adj
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	3.0 MiB

£ yearly	12816
£. per month	6380
£ - range	4975
£. pw	4697
foreign_ccy	3162

Length

Max length	12
Median length	8
Mean length	8.958983157
Min length	4

Characters and Unicode

Total characters	287225
Distinct characters	24
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	£ yearly
2nd row	£ yearly
3rd row	£. pw
4th row	£ yearly
5th row	£. per month

Value	Count	Frequency (%)
£ yearly	12816	40.0%
£. per month	6380	19.9%
£ - range	4975	15.5%
£. pw	4697	14.7%
foreign_ccy	3162	9.9%
.BSD	30	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
£	28868	39.9%
yearly	12816	17.7%
month	6380	8.8%
per	6380	8.8%
	4975	6.9%
range	4975	6.9%
pw	4697	6.5%
foreign_ccy	3162	4.4%
bsd	30	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	45198	15.7%
£	28868	10.1%
y	28794	10.0%
e	27333	9.5%
r	27333	9.5%
a	17791	6.2%
n	14517	5.1%
l	12816	4.5%
.	11107	3.9%
p	11077	3.9%
Other values (14)	62391	21.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	193825	67.5%
Space Separator	45198	15.7%
Currency Symbol	28868	10.1%
Other Punctuation	11107	3.9%
Dash Punctuation	4975	1.7%
Connector Punctuation	3162	1.1%
Uppercase Letter	90	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
y	28794	14.9%
e	27333	14.1%
r	27333	14.1%
a	17791	9.2%
n	14517	7.5%
l	12816	6.6%
p	11077	5.7%
o	9542	4.9%
g	8137	4.2%
m	6380	3.3%
Other values (6)	30105	15.5%

Value	Count	Frequency (%)
B	30	33.3%
S	30	33.3%
D	30	33.3%

Value	Count	Frequency (%)
£	28868	100.0%

Value	Count	Frequency (%)
	45198	100.0%

Value	Count	Frequency (%)
.	11107	100.0%

Value	Count	Frequency (%)
-	4975	100.0%

Value	Count	Frequency (%)
_	3162	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	193915	67.5%
Common	93310	32.5%

Most frequent character per script

Value	Count	Frequency (%)
y	28794	14.8%
e	27333	14.1%
r	27333	14.1%
a	17791	9.2%
n	14517	7.5%
l	12816	6.6%
p	11077	5.7%
o	9542	4.9%
g	8137	4.2%
m	6380	3.3%
Other values (9)	30195	15.6%

Value	Count	Frequency (%)
	45198	48.4%
£	28868	30.9%
.	11107	11.9%
-	4975	5.3%
_	3162	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	258357	89.9%
None	28868	10.1%

Most frequent character per block

Value	Count	Frequency (%)
£	28868	100.0%

Value	Count	Frequency (%)
	45198	17.5%
y	28794	11.1%
e	27333	10.6%
r	27333	10.6%
a	17791	6.9%
n	14517	5.6%
l	12816	5.0%
.	11107	4.3%
p	11077	4.3%
o	9542	3.7%
Other values (13)	52849	20.5%

total_months_with_employer
Real number (ℝ_≥0)

ZEROS

Distinct	487
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	67.49435434
Minimum	0
Maximum	695
Zeros	494
Zeros (%)	1.5%
Memory size	250.6 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	15
median	38
Q3	92
95-th percentile	230
Maximum	695
Range	695
Interquartile range (IQR)	77

Descriptive statistics

Standard deviation	77.30166006
Coefficient of variation (CV)	1.145305571
Kurtosis	5.460396295
Mean	67.49435434
Median Absolute Deviation (MAD)	29
Skewness	2.089231048
Sum	2163869
Variance	5975.546648
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	543	1.7%
11	536	1.7%
3	533	1.7%
2	523	1.6%
10	521	1.6%
9	518	1.6%
8	513	1.6%
7	510	1.6%
22	510	1.6%
6	502	1.6%
Other values (477)	26851	83.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	494	1.5%
1	543	1.7%
2	523	1.6%
3	533	1.7%
4	486	1.5%
5	489	1.5%
6	502	1.6%
7	510	1.6%
8	513	1.6%
9	518	1.6%

Value	Count	Frequency (%)
695	1	< 0.1%
691	1	< 0.1%
644	1	< 0.1%
637	1	< 0.1%
618	1	< 0.1%
617	1	< 0.1%
612	1	< 0.1%
589	1	< 0.1%
582	1	< 0.1%
564	1	< 0.1%

workclass_adj
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

private	22342
public	4287
self-emp	3605
unknown	1808
wo-pay	13

Length

Max length	8
Median length	7
Mean length	6.978009981
Min length	5

Characters and Unicode

Total characters	223715
Distinct characters	20
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	public
2nd row	self-emp
3rd row	private
4th row	private
5th row	private

Value	Count	Frequency (%)
private	22342	69.7%
public	4287	13.4%
self-emp	3605	11.2%
unknown	1808	5.6%
wo-pay	13	< 0.1%
never	5	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
private	22342	69.7%
public	4287	13.4%
self-emp	3605	11.2%
unknown	1808	5.6%
wo-pay	13	< 0.1%
never	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
p	30247	13.5%
e	29562	13.2%
i	26629	11.9%
a	22355	10.0%
r	22347	10.0%
v	22347	10.0%
t	22342	10.0%
l	7892	3.5%
u	6095	2.7%
n	5429	2.4%
Other values (10)	28470	12.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	220097	98.4%
Dash Punctuation	3618	1.6%

Most frequent character per category

Value	Count	Frequency (%)
p	30247	13.7%
e	29562	13.4%
i	26629	12.1%
a	22355	10.2%
r	22347	10.2%
v	22347	10.2%
t	22342	10.2%
l	7892	3.6%
u	6095	2.8%
n	5429	2.5%
Other values (9)	24852	11.3%

Value	Count	Frequency (%)
-	3618	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	220097	98.4%
Common	3618	1.6%

Most frequent character per script

Value	Count	Frequency (%)
p	30247	13.7%
e	29562	13.4%
i	26629	12.1%
a	22355	10.2%
r	22347	10.2%
v	22347	10.2%
t	22342	10.2%
l	7892	3.6%
u	6095	2.8%
n	5429	2.5%
Other values (9)	24852	11.3%

Value	Count	Frequency (%)
-	3618	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	223715	100.0%

Most frequent character per block

Value	Count	Frequency (%)
p	30247	13.5%
e	29562	13.2%
i	26629	11.9%
a	22355	10.0%
r	22347	10.0%
v	22347	10.0%
t	22342	10.0%
l	7892	3.5%
u	6095	2.7%
n	5429	2.4%
Other values (10)	28470	12.7%

target
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	29033
Missing (%)	90.6%
Memory size	1.3 MiB

0.0	2787
1.0	240

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	9081
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	2787	8.7%
1.0	240	0.7%
(Missing)	29033	90.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	2787	92.1%
1.0	240	7.9%

Most occurring characters

Value	Count	Frequency (%)
0	5814	64.0%
.	3027	33.3%
1	240	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6054	66.7%
Other Punctuation	3027	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	5814	96.0%
1	240	4.0%

Value	Count	Frequency (%)
.	3027	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9081	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	5814	64.0%
.	3027	33.3%
1	240	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9081	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	5814	64.0%
.	3027	33.3%
1	240	2.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	age	marital_status	education	occupation_level	education_num	familiarity_FB	view_FB	interested_insurance	created_account	has_married	education_order	job_title_top_10	company_email_address	hours_per_week	capital_gain	native_country	demographic_characteristic	town_adj	paye_adj	annual_salary	salary_band_text_adj	total_months_with_employer	workclass_adj	target
0	39	Never-married	Bachelors	1	17	7	9	0	No	0	11	Other	jones.com	40	2174	United Kingdom	77516	Edinburgh	Other	18109.0	£ yearly	246	public	0
1	50	Married-civ-spouse	Bachelors	4	17	9	6	1	No	1	11	Other	Other	13	0	United Kingdom	83311	Leeds	Other	16945.0	£ yearly	337	self-emp	0
2	38	Divorced	HS-grad	12	12	5	4	1	No	0	9	Other	Other	40	0	United Kingdom	215646	Edinburgh	Other	37908.0	£. pw	173	private	0
3	53	Married-civ-spouse	11th	1	9	9	2	0	No	1	7	Other	Other	40	0	United Kingdom	234721	Edinburgh	Other	19087.0	£ yearly	390	private	0
4	28	Married-civ-spouse	Bachelors	12	17	8	9	1	No	1	11	Other	Other	40	0	Sweden	338409	Swindon	BR442000	32892.0	£. per month	42	private	0
5	37	Married-civ-spouse	Masters	7	18	7	5	0	No	1	12	Other	Other	40	0	United Kingdom	284582	Other	Other	24336.0	£. pw	47	private	0
6	49	Married-spouse-absent	9th	1	6	1	2	0	No	1	5	Other	Other	16	0	Jamaica	160187	Edinburgh	Other	16392.0	£. per month	30	private	0
7	52	Married-civ-spouse	HS-grad	13	12	9	7	0	No	1	9	Other	Other	45	0	United Kingdom	209642	Other	Other	37407.0	£ yearly	29	self-emp	0
8	31	Never-married	Masters	12	18	6	3	1	Yes	0	12	Other	Other	50	14084	United Kingdom	45781	Swindon	NW384000	39744.0	£. per month	52	private	1
9	42	Married-civ-spouse	Bachelors	4	17	5	3	1	Yes	1	11	Other	Other	40	5178	United Kingdom	159449	Other	Other	16785.0	£ yearly	1	private	1

Last rows

	age	marital_status	education	occupation_level	education_num	familiarity_FB	view_FB	interested_insurance	created_account	has_married	education_order	job_title_top_10	company_email_address	hours_per_week	capital_gain	native_country	demographic_characteristic	town_adj	paye_adj	annual_salary	salary_band_text_adj	total_months_with_employer	workclass_adj	target
32050	49	Married-civ-spouse	HS-grad	8	12	8	1	1	unknown	1	9	Conservator, museum/gallery	Other	40	5013	United Kingdom	66385	Edinburgh	Other	17374400.0	foreign_ccy	120	private	None
32051	22	Never-married	Bachelors	7	17	3	6	0	unknown	0	11	Other	Other	30	1055	United Kingdom	205940	Edinburgh	Other	17700.0	£. per month	17	private	None
32052	51	Married-civ-spouse	Some-college	6	13	10	7	1	unknown	1	10	Event organiser	Other	50	0	United Kingdom	260938	Swindon	NW384000	22404.0	£. per month	140	self-emp	None
32053	33	Married-civ-spouse	HS-grad	10	12	6	8	0	unknown	1	9	Other	Other	40	3411	United Kingdom	60567	Edinburgh	Other	26627.0	£ yearly	103	private	None
32054	23	Never-married	Bachelors	8	17	9	5	0	unknown	0	11	Other	Other	50	0	United Kingdom	335067	Edinburgh	Other	25869.5	£ - range	25	private	None
32055	34	Never-married	HS-grad	4	12	7	4	1	unknown	0	9	Other	Other	30	0	United Kingdom	331126	Edinburgh	Other	19488.0	£. per month	38	private	None
32056	53	Divorced	12th	3	10	8	7	1	unknown	0	8	Other	Other	40	0	United Kingdom	156612	Edinburgh	Other	15116.0	£ yearly	167	private	None
32057	44	Married-civ-spouse	Bachelors	6	17	3	4	1	unknown	1	11	Environmental health practitioner	Other	45	0	United Kingdom	188436	Swindon	NW384000	23733.0	£ yearly	163	private	None
32058	60	Widowed	Some-college	6	13	6	2	1	unknown	1	10	Event organiser	Other	40	0	United Kingdom	227468	Edinburgh	Other	18617.0	£ yearly	107	private	None
32059	55	Married-civ-spouse	Some-college	8	13	7	5	1	unknown	1	10	Other	Other	38	0	United Kingdom	183580	Swindon	Other	22185.0	£ yearly	247	private	None

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters